NDAR provides a single access to de-identified autism research data. For permission to download data, you will need an NDAR account
with approved access to NDAR or a connected repository (AGRE, IAN, or the ATP). For NDAR access, you need to be a research
investigator sponsored by an NIH recognized institution with federal wide assurance.
See Request Access for more information.

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You are now leaving the National Database for Autism Research (NDAR) web site to go to:

The filters you have selected from various query interfaces will be stored here, in the 'Filter Cart'.
The database will be queried using filters added to your 'Filter Cart', when multiple filters are
defined, each will be executed using 'AND' logic, so with each filter that is applied the result set gets smaller.

From the 'Filter Cart' you can inspect each of the filters that have been defined, and you also
have the option to remove filters. The 'Filter Cart' itself will display the number of filters
applied along with the number of subjects that are identified by the combination of those filters.
For example a GUID filter with two subjects, followed by a GUID filter for just one of those subjects
would return only data for the subject that is in both GUID filters.

If you have a question about the filter cart, or underlying filters please contact the help desk at
The NDA Help Desk

Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY

Required field

adate

interview_age

Integer

Required

Age in months at the time of the interview/test/sampling/imaging.

0 :: 1260

Age is rounded to chronological month. If the research participant is 15-days-old at time of interview, the appropriate value would be 0 months. If the participant is 16-days-old, the value would be 1 month.

ASR 124 In the past 6 months, about how many times per day did you use tobacco (including smokeless tobacco)?

-99= N/A ; 77= Refused ; 88= Missing

asr_q124_p, q124

asr24

Float

Recommended

ASR 125 In the past 6 months, on how many days were you drunk?

-99= N/A ; 77= Refused ; 88= Missing

asr_q125_p, q125

asr25

String

25

Recommended

ASR 126 In the past 6 months, on how many days did you use drugs for nonmedical purposes (including marijuana, cocaine, and other drugs, except alcohol and nicotine)?

-99= N/A ; 77= Refused ; 88= Missing

asr_q126_p, q126

site

String

100

Recommended

Site

Study Site

version

String

20

Recommended

Version/code of assessment

highest_education_specify

String

255

Recommended

Please Check Adult's Highest Education - Other education (specify):

schoolother

c23

Integer

Recommended

Total Number of Friends (How many close friends does child have?)

0::3;9

0 = None;1 = One;2 = Two or Three;3 = Four or more;9 = Missing

frienda

marital_status_specify

String

255

Recommended

Other marital status - Please describe:

marstatother

job_detail

String

255

Recommended

Please indicate type of program/job and amount of hours per week.

jobdescribe

resp_occupation

String

255

Recommended

Respondent's occupation

yourwork

demo_partner_occupation

String

100

Recommended

Spouse/partner Occupation

spousework

highest_education

Integer

Recommended

Please Check Adult's Highest Education

1::10; 999

1. No high school diploma and no GED, 2. General Equivalency Diploma (GED), 3. High school graduate, 4. Some college but no college degree, 5. Associate's Degree, 6. Bachelor's or RN Degree, 7. Some graduate school but no graduate degree, 8. Master's Degree, 9. Doctoral or Law Degree 10=Other education; 999=missing

school

contact_friends

String

20

Recommended

I-B. About how many times a month does he/she have contact with any close friends? (Include in-person contacts, phone, letters, e-mail.)

1 or 2; 3 or 4; 5 or more; Less Than 1; Missing/NA

friendb

gets_along_friends

String

20

Recommended

I-C. How well does he/she get along with close friends?

Above Average; Average; Far Above Average; Not Well; Missing/NA

friendc

friends_visit

String

20

Recommended

I-D. About how many times a month do any friends or family visit him/her?

0 = Pervasive unhappiness and dissatisfaction with occupational role; 2 = Little or no definite evidence of unhappiness or dissatisfaction, but role does not provide any positive pleasure or fulfillment. Perhaps boredom is evident; 4 = Little or no discontent and some limited pleasure in work; 6 = Rather consistent sense of fulfillment and satisfaction, perhaps in spite of some limited complaints; 8=missing; 9 = Not applicable if patient not involved in any occupational role functioning

This page displays the data structure defined for the measure identified in the
title and structure short name. The table below displays a list of data elements
in this structure (also called variables) and the following information:

Required: This column displays whether the element is Required for valid submissions,
Recommended for valid submissions, Conditional on other elements, or Optional

Description: A basic description

Value Range: Which values can appear validly in this element (case sensitive for strings)

Notes: Expanded description or notes on coding of values

Aliases: A list of currently supported Aliases (alternate element names)

For valid elements with shared data, on the far left is a Filter button you can use to
view a summary of shared data for that element and apply a query filter to your Cart
based on selected value ranges

At the top of this page you can also:

Use the search bar to filter the elements displayed. This will not filter on the Size of Required columns

Filters enable researchers to view the
data shared in NDA before applying for access or for selecting
specific data for download or NDA Study assignment. For those with
access to NDA shared data, you may select specific values to be
included by selecting an individual bar chart item or by selecting a
range of values (e.g. interview_age) using the "Add Range" button.
Note that not all elements have appropriately distinct values like
comments and subjectkey and are not available for filtering.
Additionally, item level detail is not always provided by the
research community as indicated by the number of null values given.

Filters for multiple data elements within
a structure are supported. Selections across multiple data structures
will be supported in a future version of NDA.